Tensorflow implementation of attention mechanism for text classification tasks.
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Updated
Dec 20, 2019 - Python
Tensorflow implementation of attention mechanism for text classification tasks.
Implementation of a Hierarchical Attention Network (HAN) in PyTorch
Paper code for Pruning and Sparsemax Methods for Hierarchical Attention Networks
Project files for pattern recognition group assignment (team 22) @ Utrecht University.
Text Classification Lib on Keras
I implemented 3HAN(Hierarchical Attention Network)for fake news detection in pytorch. The same model can be modified and trained for different text classification tasks.
THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.
Notebooks for running and visualizing results using trained models for linguistic complexity.
Text-level Aspect-Based Sentiment Analysis based on multi-task approach for Vietnamese reviews.
Repository of state of the art text/documentation classification algorithms in Pytorch.
This is the implementation for the paper: Sequential Recommender System based on Hierarchical Attention Network
all kinds of baseline models for long text classificaiton( text categorization)
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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